Thema3000: Unterschied zwischen den Versionen

Version vom 11. März 2010, 11:14 Uhr

Robust decentralized discovery algorithms in large-scale Service-oriented architectures

Ding Ding

Informationen zur Arbeit

Abschlussarbeitstyp: Diplom
Betreuer: Hartmut Schmeck, Lei Liu
Forschungsgruppe: Effiziente Algorithmen

Archivierungsnummer: 3000
Abschlussarbeitsstatus: Abgeschlossen
Beginn: 01. September 2009
Abgabe: 28. Februar 2010

Weitere Informationen

Leider keine weiteren Informationen verfügbar!

@@ Zeile 5: / Zeile 5: @@
 |Vorname=Ding
 |Nachname=Ding
+|Beschreibung EN=Discovery in Service-oriented Computing
+Service-oriented Computing (SOC) provides fundamental means for integrating legacy, existing, and
+future technical IT systems into distributed enterprise applications. A full adoption of the design
+paradigm service-orientation may result in a loosely coupled, flexible, and interoperable enterprise IT
+architecture with high reusability. However, service-orientation does not provide by itself means to
+cope with the complexity incorporated in such an enterprise IT architecture. Various approaches
+have been proposed to enable self-organization in SOC to deal with the increasing complexity for
+human participants in the system. One of these approaches is to use the concepts of Organic
+Computing. A critical issue of enabling an Organic SOC (OSOC) is to have robust, reliable, and
+scalable algorithms for the discovery of essential components in large-scale SOC.
+Existing centralized discovery mechanisms such as UDDI may experience difficulties in large-scale
+service-networks. Typical problems like a performance bottleneck or a single-point-of-failure are the
+major points preventing an active adoption of such centralized mechanisms. To address these
+problems, different approaches have been proposed, such as in the WS-Discovery specification.
+The main aspect of these approaches is to move away from centralized systems.
+Goal of the Thesis
+The goal of this work is to design and
+implement a decentralized approach to
+enable automatic distributed service
+discovery. Hence, one has to analyze 1) the
+requirements concerning discovery in largescale
+self-organizing SOC, 2) existing
+research conducted in the field (e.g. WSDiscovery),
+and 3) to design a reliable
+distributed discovery mechanism with
+respect to the self-organizing capabilities in
+OSOC. Furthermore, the designed
+discovery algorithm should be realized with a proof-of-concept implementation in an existing
+reference SOC simulation environment to prove its plausibility and capabilities. The resulting
+implementation should be able to keep the complete system landscape in a distributed and selforganized
+manner.
+The implementation should be carried out with up-to-date Java technologies, among other things,
+JDK 6 and eclipse 3.x. Furthermore, you have the possibility to work actively within an ongoing
+research project. If desired, you may work at the computer lab in our institute. The working
+languages in this thesis can be either German or English.
 |Betreuer=Hartmut Schmeck; Lei Liu
 |Beginn=2009/09/01